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    Comovement and return predictability in asset markets: An experiment with two Lucas trees

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    Author
    Noussair, Charles N.
    Popescu, Andreea Victoria
    Affiliation
    Department of Economics and Economic Science Laboratory, Eller College of Management, The University of Arizona
    Issue Date
    2021-05
    Keywords
    Asset pricing
    Comovement
    Experimental finance
    Return predictability
    Time series momentum
    Two trees model
    
    Metadata
    Show full item record
    Publisher
    Elsevier BV
    Citation
    Noussair, C. N., & Popescu, A. V. (2021). Comovement and return predictability in asset markets: An experiment with two Lucas trees. Journal of Economic Behavior & Organization, 185, 671-687.
    Journal
    Journal of Economic Behavior and Organization
    Rights
    © 2021 Elsevier B.V. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Using a laboratory experiment, we investigate whether comovement can emerge between two risky assets, despite their fundamentals not being correlated. The ‘Two trees’ asset pricing model developed by Cochrane et al. (2007) guides our experimental design and its predictions serve as our source of hypotheses. The model makes time-series and cross-section return predictions following a shock to one of the two assets’ dividend distributions. As the model predicts, we observe (1) positive contemporaneous correlation between the two assets, (2) positive autocorrelation in the shocked asset, and (3) time-series and cross-sectional return predictability from the dividend-price ratio. In line with the rational foundations of the model, the model's predictions have stronger support in markets with relatively sophisticated agents. © 2021 Elsevier B.V.
    Note
    36 month embargo; available online 7 April 2021
    ISSN
    0167-2681
    DOI
    10.1016/j.jebo.2021.03.012
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jebo.2021.03.012
    Scopus Count
    Collections
    UA Faculty Publications

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